Review of the application of Artificial Neural Networks in ocean engineering

被引：67

作者：

Juan, Nerea Portillo ^{[1
]}

Valdecantos, Vicente Negro ^{[1
]}

机构：

[1] Univ Politecn Madrid, Campus Ciudad Univ,Calle Prof Aranguren 3, Madrid 28040, Spain

来源：

OCEAN ENGINEERING | 2022年 / 259卷

关键词：

Artificial intelligence; Artificial neural networks; Ocean engineering; Wave height forecast; Sea level prediction; Soft-computing; LEVEL PREDICTION; WAVE PREDICTIONS; BREAKING WAVES; WEST-COAST; MODEL; SEA; STABILITY; INTELLIGENCE; FUZZY; PORT;

D O I：

10.1016/j.oceaneng.2022.111947

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Artificial Neural Networks (ANNs) were firstly used to model ocean engineering problems in the decade of 1990s. Since then, this soft-modelling technique has proved several advantages against traditional approaches. In this article, the application of ANNs in ocean and maritime engineering from its beginnings until today is reviewed. After reviewing more than 90 studies, some general rules to apply in ANNs in ocean engineering are concluded, the most common and advantageous methods are summed up and research gaps in the application of ANNs are identified.

引用

页数：13

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